PhD Life Science Job – Scientific Business Analyst at Amgen
Are you passionate about the intersection of science, data, and technology? Amgen is hiring a Scientific Business Analyst (Specialist) – R&D Omics in Hyderabad. In this key role, you’ll collaborate with research scientists and technology teams to drive impactful advancements in omics-driven drug discovery. Join one of the world’s leading biotechnology companies and help transform lives with science.
About Amgen
If you feel like you’re part of something bigger at Amgen, it’s because you are. The shared mission of serving patients living with serious illnesses drives all that we do. Since 1980, Amgen has been a pioneer in the biotech world, focusing on Oncology, Inflammation, General Medicine, and Rare Disease. Join us in making a lasting impact on patients’ lives through innovative medicines.
JOB ID: R-213398
ADDITIONAL LOCATIONS: India – Hyderabad
WORK LOCATION TYPE: On Site
CATEGORY: Information Systems
Job Details
This role at Amgen involves working closely with Research partners and Technology peers to ensure that technology/data needs for drug discovery research are effectively implemented. You will be part of a multi-functional team that enables technology and data capabilities to evaluate drug candidates and assess their impact on biology.
Roles & Responsibilities
- Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
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Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
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Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
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Translate complex scientific and technological needs into clear, actionable requirements for development teams
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Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis
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Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones
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Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance
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Develop documentation, communication plans and training plans for end users
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Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
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Ensure operational excellence, cybersecurity and compliance
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Collaborate with geographically dispersed teams, including those in the US and other international locations
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Foster a culture of collaboration, innovation, and continuous improvement
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications and Experience:
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PhD with 1 – 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR
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Master’s degree with 4 – 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR
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Bachelor’s degree with 6 – 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR
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Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field
Functional Skills:
Must-Have Skills:
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Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data
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Experience with bioinformatics tools and research workflows used to manage omics data
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Good understanding of database technology (e.g. RDBMS, Databricks)
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Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
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Experience with cloud (e.g. AWS) and on-premise infrastructure
Good-to-Have Skills:
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Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports
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Knowledge of handling GxP data and system validation (i.e. GCP)
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Understanding of AI and machine learning for drug discovery research and preclinical development
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In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe
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Experience managing vendors, licenses in support of a Product team
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Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology
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Experience with platforms such as Benchling, or other LIMS
Professional Certifications:
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SAFe for Teams certification (preferred)
Soft Skills for PhD Life Science Job:
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Able to work under minimal supervision
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Excellent analytical and gap/fit assessment skills
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Strong verbal and written communication skills
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Ability to work effectively with global, virtual teams
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High degree of initiative and self-motivation
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Ability to manage multiple priorities successfully
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Team-oriented, with a focus on achieving team goals
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Strong presentation and public speaking skills
What We Offer
At Amgen, we support your professional and personal growth with competitive benefits and a collaborative culture.
Keywords: Scientific Business Analyst, R&D Omics, Amgen, job posting
